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  1. README.md +21 -0
  2. adapter_config.json +23 -0
  3. adapter_model.bin +3 -0
README.md ADDED
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+ ---
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+ library_name: peft
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+ ---
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+ ## Training procedure
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+
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+
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+ The following `bitsandbytes` quantization config was used during training:
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+ - quant_method: bitsandbytes
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+ - load_in_8bit: False
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+ - load_in_4bit: True
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+ - llm_int8_threshold: 6.0
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+ - llm_int8_skip_modules: None
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+ - llm_int8_enable_fp32_cpu_offload: False
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+ - llm_int8_has_fp16_weight: False
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+ - bnb_4bit_quant_type: nf4
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+ - bnb_4bit_use_double_quant: True
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+ - bnb_4bit_compute_dtype: bfloat16
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+ ### Framework versions
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+
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+
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+ - PEFT 0.6.0.dev0
adapter_config.json ADDED
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+ {
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+ "auto_mapping": null,
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+ "base_model_name_or_path": "ybelkada/falcon-7b-sharded-bf16",
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+ "bias": "none",
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+ "fan_in_fan_out": false,
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+ "inference_mode": true,
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+ "init_lora_weights": true,
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+ "layers_pattern": null,
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+ "layers_to_transform": null,
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+ "lora_alpha": 16,
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+ "lora_dropout": 0.1,
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+ "modules_to_save": null,
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+ "peft_type": "LORA",
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+ "r": 64,
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+ "revision": null,
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+ "target_modules": [
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+ "query_key_value",
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+ "dense",
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+ "dense_h_to_4h",
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+ "dense_4h_to_h"
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+ ],
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+ "task_type": "CAUSAL_LM"
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+ }
adapter_model.bin ADDED
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+ version https://git-lfs.github.com/spec/v1
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+ oid sha256:7b9e350e5caf7232dddab3bd778480bba3d620aa47b84897394d3b22c6c61395
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+ size 522284877